An Improved Particle Swarm Optimization Applied To Design Array Antennas

Modern radar, communications, electronic warfare technology for design of high performance antenna array proposed new requirements, including high-low side-lobe array antenna of direction is a major direction. Array antenna radiation pattern of the main factors:the number of array elements, array element spacing and the array element excitation weights by adjusting these parameters to design the main antenna radiation pattern. To design antenna, the relationship among these three elements is complex, nonlinear, in which the number of array elements, irregular element spacing of the antenna array radiation pattern of difficult to describe mathematically precise. Particle swarm optimization is a heuristic evolutionary algorithm, the array antenna design in solving the number and array element against element spacing has better performance of nonlinear problems, this paper, the classical particle swarm optimization based on the specific combination of array antenna design characteristics of an improved particle swarm algorithm. Use of array element weights, respectively, distribution of the array element distribution of information, to control the particle swarm evolutionary velocity, the velocity of evolution makes the PSO fitness function can adaptively control the particle swarm in the direction and pace of evolution; the other hand, Fourier transform method to constrain the particle location update, the regular spacing were optimized sparse array, the number of antenna elements, random array of array element spacing.Firstly the line array as a model, with the algorithm to optimize the array weights and the array element spacing, the design of low side lobe, high-directional antennas. Optimizing the array element spacing to control the array aperture and direction of patterns、side-lobe level at the same time, compared with PSO, CLPSO, GA by simulation.Second, the algorithm is extended to binary data types, using algorithm to design sparse array. The paper presents linear and planar array as an object, the use of algorithms for sparse array the array design, the control rate based on the optimization of sparse antenna side lobe level and direction, the algorithm and the existing classic BPSO, GA, IFT for comparing the simulation, the simulation results show that the improved algorithm has better results.Finally, the algorithm is applied to the array topology design division of the sub-array. The main use of the improved binary particle swarm optimization regular array of sub-array phase center, which designed to meet the desired antenna pattern...